目的: 探索短视频观看行为如何通过女性健康相关行为影响其心理健康。
方法: 基于中国家庭追踪调查（China Family Panel Studies,CFPS）2020年数据,选取16~60岁的女性样本共8 413人,并根据短视频观看行为分为完全不观看组（3 274人）、非每日观看组（1 581人）、每日观看组（3 558人）。采用多元线性回归模型分析短视频观看行为对女性心理健康的非线性影响机制。
结果: 非每日观看组较完全不观看组抑郁评分更低（β=-0.782）,而每日观看组抑郁评分相较非每日观看组更高（β=0.714）。分组回归分析显示,观看短视频对女性心理健康的影响在年龄、城乡分布和婚姻状况方面呈现群体异质性。结合行为替代假说,在引入运动频率、每日上网时长、晚睡行为等变量后,发现非每日观看短视频通过提升运动频率（OR=1.603, 95%CI:1.391~1.849）产生心理增益,而每日观看则因屏幕黏性引发睡眠剥夺（OR=1.198, 95%CI:1.062~1.352）,导致抑郁风险升高。
结论: 观看短视频对女性心理健康的影响呈现非线性效应。即女性的心理健康水平既取决于短视频的观看频率与时长,也受制于短视频的内容质量与用户自主调控能力。
Objective: This study aims to examine how short video viewing behaviors influence women's mental health by influencing their health-related behaviors.
Methods: This study utilizes data from the 2020 China Family Panel Studies (CFPS) to analyze a sample of 8 413 women aged 16 to 60. Three dummy variables were created: non-viewers (n=3 274), non-daily viewers (n=1 581), and daily viewers (n=3 558). Employing a multiple linear regression model, it examines the nonlinear impact of short video usage on women's mental health.
Results: Moderate users (non-daily viewing group) exhibited significantly lower depression scores compared to those who never viewed short videos (β=-0.782), while high-frequency users (daily viewing group) showed significantly higher depression indices than non-daily users (β=0.714). Grouped regression tests revealed heterogeneous effects of short video usage on women's mental health. Incorporating the behavioral substitution hypothesis, the study introduced mechanism variables—exercise frequency, internet duration, and late bedtimes. Resultsindicate that moderate non-daily usage yields psychological benefits through increased exercise frequency (OR=1.603, 95%CI:1.391~1.849). Conversely, daily high-frequency usage triggers screen addiction, leading to sleep deprivation (OR=1.198, 95%CI:1.062~1.352), thereby escalating depression risk.
Conclusion: These empirical findings challenge the traditional assumption of unidimensional linear harm from digital use, highlighting the double-edged nature of short video impacts—their health effects depend not only on usage intensity but are more critically shaped by content quality and users' self-regulation capabilities.
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